Worked on stabilizing and optimizing the KV cache within the GPT model in the rasbt/LLMs-from-scratch repository, focusing on improving reliability for long-context text generation. Addressed a sliding-window KV cache bug by ensuring the pointer resets correctly when the window size exceeds the context length, which prevents stale data and enhances throughput. Additionally, resolved an import issue in the optimized KV cache path, ensuring smoother integration and execution. These efforts, implemented using Python and PyTorch with deep learning and NLP techniques, strengthened the model’s production readiness and maintainability, resulting in more stable and performant text generation without introducing new features.